Allen Downey

An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know Python can get started quickly and use Bayesian analysis to solve real problems. This tutorial is based on material and case studies from Think Bayes (O'Reilly Media).

An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know some Python have a head start.

We will use material from Think Stats: Probability and Statistics for Programmers (O’Reilly Media), and Think Bayes, a work in progress at http://thinkbayes.com.

This tutorial is an introduction to Bayesian statistics using Python. My goal
is to help participants understand the concepts and solve real problems. We
will use material from my book, Think Stats: Probability and Statistics for
Programmers (O’Reilly Media).

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